{"id":"W2003724518","doi":"10.1139/f08-124","title":"Spatial and temporal variation of maturation schedules of lake whitefish (Coregonus clupeaformis) in the Great Lakes","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Water and Wastewater Association; Ministry of Natural Resources and Forestry","funders":"National Oceanic and Atmospheric Administration; Michigan Department of Natural Resources; Ministry of Natural Resources; Great Lakes Fishery Trust","keywords":"Coregonus clupeaformis; Coregonus; Bay; Ecology; Biology; Fishery; Fishing; Sexual maturity; Lake ecosystem; Fish <Actinopterygii>; Habitat; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003179329,0.0001199267,0.0001067876,0.0008133333,0.0002454078,0.0002911648,0.0001881005,0.000170584,0.0004195115],"category_scores_gemma":[0.000911151,0.0001905428,0.0001041554,0.0004721151,0.0003569519,0.0002530328,0.0004132785,0.0001233275,0.0000760802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006678165,"about_ca_system_score_gemma":0.0003475038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0580971,"about_ca_topic_score_gemma":0.1962092,"domain_scores_codex":[0.9998549,0.00002820698,0.000009799348,0.00005422291,0.00002660385,0.00002630655],"domain_scores_gemma":[0.9992735,0.0001126804,0.0003676084,0.00003654937,0.0001179774,0.00009174045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004774986,0.00001046707,0.9921801,0.00000829193,0.00002760942,0.00004401109,0.0006471637,0.0001967923,0.003041706,0.00003904603,0.0001176197,0.003639432],"study_design_scores_gemma":[4.984545e-7,0.000005790552,0.9997364,6.884321e-7,0.000001814717,0.000007618662,0.0000627379,0.000105236,0.00003454781,0.000004041563,0.00003974044,0.000001092633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996967,0.00002548325,0.00004715437,0.000008649255,4.245008e-7,0.000001473031,0.000067761,0.000003656989,0.000148723],"genre_scores_gemma":[0.9996095,0.00002004448,0.00009633854,0.000005371103,0.000001554701,0.000006634262,0.0001385882,0.000001447726,0.0001205393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9419029,"threshold_uncertainty_score":0.1155179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704451746347576,"score_gpt":0.196356159260209,"score_spread":0.1793116417967332,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}